55 lines
2.1 KiB
Python
55 lines
2.1 KiB
Python
import ctypes as ct
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from pathlib import Path
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from warnings import warn
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from .cuda_setup.main import evaluate_cuda_setup
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class CUDALibrary_Singleton(object):
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_instance = None
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def __init__(self):
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raise RuntimeError("Call get_instance() instead")
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def initialize(self):
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binary_name = evaluate_cuda_setup()
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package_dir = Path(__file__).parent
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binary_path = package_dir / binary_name
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if not binary_path.exists():
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print(f"CUDA SETUP: TODO: compile library for specific version: {binary_name}")
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legacy_binary_name = "libbitsandbytes.so"
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print(f"CUDA SETUP: Defaulting to {legacy_binary_name}...")
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binary_path = package_dir / legacy_binary_name
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if not binary_path.exists():
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print('CUDA SETUP: CUDA detection failed. Either CUDA driver not installed, CUDA not installed, or you have multiple conflicting CUDA libraries!')
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print('CUDA SETUP: If you compiled from source, try again with `make CUDA_VERSION=DETECTED_CUDA_VERSION` for example, `make CUDA_VERSION=113`.')
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raise Exception('CUDA SETUP: Setup Failed!')
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# self.lib = ct.cdll.LoadLibrary(binary_path)
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self.lib = ct.cdll.LoadLibrary(str(binary_path)) # $$$
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else:
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print(f"CUDA SETUP: Loading binary {binary_path}...")
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# self.lib = ct.cdll.LoadLibrary(binary_path)
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self.lib = ct.cdll.LoadLibrary(str(binary_path)) # $$$
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@classmethod
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def get_instance(cls):
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if cls._instance is None:
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cls._instance = cls.__new__(cls)
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cls._instance.initialize()
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return cls._instance
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lib = CUDALibrary_Singleton.get_instance().lib
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try:
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lib.cadam32bit_g32
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lib.get_context.restype = ct.c_void_p
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lib.get_cusparse.restype = ct.c_void_p
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COMPILED_WITH_CUDA = True
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except AttributeError:
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warn(
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"The installed version of bitsandbytes was compiled without GPU support. "
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"8-bit optimizers and GPU quantization are unavailable."
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)
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COMPILED_WITH_CUDA = False
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